R Observatory: Metrics for ggeffects version 2.3.2

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

ggeffects

2.3.2

Create Tidy Data Frames of Marginal Effects for 'ggplot' from Model Outputs

12packages depend

475.6Kdownloads / year

69.8%test coverage

13/13checks pass

Overview

About

Maintained by Daniel LüdeckeFirst published 2017-04-2661 releasesCRAN page ↗GitHub ↗

Compute marginal effects and adjusted predictions from statistical models and returns the result as tidy data frames. These data frames are ready to use with the 'ggplot2'-package. Effects and predictions can be calculated for many different models. Interaction terms, splines and polynomial terms are also supported. The main functions are ggpredict(), ggemmeans() and ggeffect(). There is a generic plot()-method to plot the results using 'ggplot2'.

Install

R (CRAN)pak (dev)Ubuntu (r2u)Fedora (COPR)openSUSE (OBS)

install.packages("ggeffects", repos = "https://cloud.r-project.org/")

Installs the current CRAN release. Prebuilt binaries on Windows and macOS.

if (!requireNamespace("pak", quietly = TRUE))
  install.packages("pak", repos = "https://cloud.r-project.org/")
pak::pak("strengejacke/ggeffects")

Development version from strengejacke/ggeffects. Installs pak first if it is not already available.

Release

# enable cranapt (r2u) if it is not already set up, then install
grep -rqs r2u.stat.illinois.edu /etc/apt/sources.list /etc/apt/sources.list.d/ \
  || curl -fsSL https://raw.githubusercontent.com/eddelbuettel/r2u/master/inst/scripts/add_cranapt_noble.sh | sudo bash
sudo apt install -y r-cran-ggeffects

Fast Ubuntu binaries via r2u (no compilation). The cranapt setup runs once and is skipped when it is already enabled.

bspm (used by r2u) also needs make: sudo apt install make

# enable the iucar/cran COPR if it is not already present, then install
ls /etc/yum.repos.d/*iucar*cran*.repo >/dev/null 2>&1 \
  || sudo dnf copr enable -y iucar/cran
sudo dnf install -y R-CRAN-ggeffects

RPMs from the iucar/cran COPR, rebuilt from CRAN.

For install.packages() integration in R, also: sudo dnf install R-CoprManager

# add the autoCRAN OBS repo (Tumbleweed) if it is missing, then install
zypper -q lr | grep -qi autoCRAN \
  || sudo zypper addrepo https://download.opensuse.org/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Tumbleweed/devel:languages:R:autoCRAN.repo
sudo zypper install -y R-ggeffects

RPMs auto-built from CRAN on openSUSE OBS (Tumbleweed).

Health

CRAN checks

13OK

Slowest check: 5.6 min · r-oldrel-windows-x86_64

Code health

Yes

Tests · ratio 0.49

69.8%

Coverage · measured lines

100%

Documentation · exports

6

Dependencies · direct

Check history

OK2026-08-05
13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
NOTE2026-08-01
12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
OK2026-03-10
14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

READMEYes · 1,949 wordsVignettesYes · dynamicpkgdown siteNoNEWSYes · 100% structuredCode of conductNoContributing guideNo

Examples that run: 100%
Documented parameters: 93%
Return-value docs: 93%
References docs: 24%

Downloads

475.6K

CRAN downloads in the past year

Rank #645 · ~1.3K/day · ~39.6K/mo

Releases R versions

Daily download trend is not available in this view yet.

23.7K30 days

91.5K90 days

475.6K1 year

Compare downloads with other packages →

Also on2.2K r2u16 autocran9.1K conda_forge52 c2d4u

Repository

GitHub ↗ strengejacke/ggeffects

607Stars

45Forks

55Open issues

7Open PRs

25Releases

1,981Commits

14Contributors

hacktoberfestmarginal-effectspredictionestimated-marginal-means

1,981 commits · Last activity 2026-06-05 · 0% stars, 30d

Stars over time

2025-08-13 · 5932026-07-07 · 607

Repository practices

Upstream repositoryBeta

5 development-tooling and community-health practices detected across 3 families in the upstream repository

Checks run against github.com/strengejacke/ggeffects on 2026-08-09.

Continuous integration (1)

GitHub Actions

CRAN release process (2)

cran-comments.mdCRAN-SUBMISSION

Lint, format, editor (2)

lintrRStudio project

How this is detected·Detection ruleset v1 (2026-07-18)

Dependencies

Declared dependencies

72 external dependencies (excludes base and recommended)

Depends (1)

R >= 3.6

Imports (6)

graphicsinsight datawizardstatsutilsreformulas

LinkingTo (0)

none

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

12direct

2indirect

MIGEE eirm pastaPlot sjPlot SimplyAgree broom.helpers growthTrendR nestedLogit psre pubh sdmTMB statAPA

Code & Tests

Datasets

People & History

People (5)

Maintainer (1)

Daniel Lüdecke

Author, Maintainer

Authors (1)

Daniel Lüdecke

Author, Maintainer

Contributors (4)

Sean C. Anderson

Contributor

Frederik Aust

Contributor · added in 0.14.0

Mattan S. Ben-Shachar

Contributor · added in 0.16.0

Sam Crawley

Contributor · added in 0.15.1

Listed in earlier versions (2)

Sean C.

no longer listed · 1.3.3 to 2.3.2

Mattan S.

no longer listed · 1.3.3 to 2.3.2

Package Timeline

61 releases. Pick two to compare their code metrics. R releases are shown for context.

R
R 4.6.0 released · 2026-04-24
2.3.2Latest
2025-12-16 · current release · diff ↗
2.3.1
2025-08-20 · diff ↗
2.3.0
2025-06-13 · diff ↗
R
R 4.5.0 released · 2025-04-11
2.2.1
2025-03-11 · diff ↗
2.2.0
2025-02-05 · diff ↗
2.1.0
2025-01-20 · diff ↗
2.0.0
2024-11-27 · diff ↗
1.7.2
2024-10-13 · diff ↗
1.7.1
2024-09-01 · diff ↗
1.7.0
2024-06-20 · diff ↗
1.6.0
2024-05-18 · diff ↗
R
R 4.4.0 released · 2024-04-24
1.5.2
2024-04-15 · diff ↗
1.5.1
2024-03-26 · diff ↗

Show 55 earlier events

1.5.0
2024-02-24 · diff ↗
1.4.0
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1.3.4
2023-12-18 · diff ↗
1.3.3
2023-12-15 · diff ↗
1.3.2
2023-10-17 · diff ↗
1.3.1
2023-09-05 · diff ↗
1.3.0
2023-08-21 · diff ↗
1.2.3
2023-06-11 · diff ↗
1.2.2
2023-05-04 · diff ↗
R
R 4.3.0 released · 2023-04-21
1.2.1
2023-04-02 · diff ↗
1.2.0
2023-02-24 · diff ↗
1.1.5
2023-01-25 · diff ↗
1.1.4
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1.1.3
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R
R 4.2.0 released · 2022-04-22
1.1.2
2022-04-10 · diff ↗
1.1.1
2021-07-29 · diff ↗
R
R 4.1.0 released · 2021-05-18
1.1.0
2021-04-30 · diff ↗
1.0.2
2021-03-17 · diff ↗
1.0.1
2020-12-14 · diff ↗
1.0.0
2020-11-29 · diff ↗
0.16.0
2020-09-13 · diff ↗
0.15.1
2020-07-27 · diff ↗
0.15.0
2020-06-16 · diff ↗
R
R 4.0.0 released · 2020-04-24
0.14.3
2020-04-20 · diff ↗
0.14.2
2020-03-14 · diff ↗
0.14.1
2020-01-28 · diff ↗
0.14.0
2019-12-16 · diff ↗
0.13.0
2019-11-08 · diff ↗
0.12.0
2019-09-03 · diff ↗
0.11.0
2019-07-01 · diff ↗
0.10.0
2019-05-13 · diff ↗
R
R 3.6.0 released · 2019-04-26
0.9.0
2019-03-17 · diff ↗
0.8.0
2019-01-09 · diff ↗
0.7.0
2018-11-17 · diff ↗
0.6.0
2018-10-11 · diff ↗
0.5.0
2018-08-11 · diff ↗
0.4.0
2018-07-03 · diff ↗
0.3.4
2018-06-08 · diff ↗
0.3.3
2018-05-03 · diff ↗
R
R 3.5.0 released · 2018-04-23
0.3.2
2018-03-21 · diff ↗
0.3.1
2018-01-15 · diff ↗
0.3.0
2017-11-27 · diff ↗
0.2.2
2017-09-20 · diff ↗
0.2.1
2017-08-22 · diff ↗
0.2.0
2017-07-24 · diff ↗
0.1.2
2017-06-19 · diff ↗
0.1.1
2017-05-17 · diff ↗
0.1.0
2017-04-26
R
R 3.4.0 released · 2017-04-21

Package metadata

First published: 2017-04-26
Total releases: 61 / 9 yrs
License: MIT + file LICENSE OSI
Minimum R: ≥ 3.6
Bundled data: 43 KB / 5 files
Download size: 367 KB
Installed size: not tracked yet
With dependencies: not tracked yet

Appears in task views

Mixed, Multilevel, and Hierarchical Models in R

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("ggeffects")

Format

Lüdecke, D., Anderson, S. C., Aust, F., Ben-Shachar, M. S., & Crawley, S. (2025). ggeffects: Create Tidy Data Frames of Marginal Effects for 'ggplot' from Model Outputs (Version 2.3.2) [Computer software]. https://doi.org/10.32614/CRAN.package.ggeffects

This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

Format

APA

Balamuta, J. J. (2026). R Observatory: Metrics for ggeffects version 2.3.2 [Data set]. HJJB, LLC. Data release v2026-08-15. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-15, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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